Ambient Backscatter: A Novel Method to Defend Jamming Attacks for Wireless Networks
| Autor: | Nguyen Van Huynh, Diep N. Nguyen, Markus Dominik Mueck, Eryk Dutkiewicz, Dinh Thai Hoang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Wireless network
Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020208 electrical & electronic engineering Transmitter Real-time computing ComputerApplications_COMPUTERSINOTHERSYSTEMS 020206 networking & telecommunications Jamming Throughput Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Signal-to-noise ratio Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering Reinforcement learning Wireless Electrical and Electronic Engineering business Communication channel |
| Zdroj: | IEEE Wireless Communications Letters. 9:175-178 |
| ISSN: | 2162-2345 2162-2337 |
| DOI: | 10.1109/lwc.2019.2947417 |
| Popis: | © 2012 IEEE. This letter introduces a novel idea to defend jamming attacks for wireless communications. In particular, when the jammer attacks the channel, the transmitter can leverage the jamming signals to transmit data by using ambient backscatter technique or harvest energy from the jamming signals to support its operation. To deal with the uncertainty of the jammer, we propose a reinforcement learning-based algorithm that allows the transmitter to obtain the optimal operation policy through real-time interaction processes with the attacker. The simulation results show the effectiveness of ambient backscatter in combating jammers, i.e., it enables the transmitter to transmit data even under the jamming attacks. We observe that the more power the jammer uses to attack the channel, the better performance the network can achieve. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|